MARKETING
Web3’s Marketing Value Is Function, Not Form
Picture a time when a new technology angered many because of the copyright infringement risk to creators, yet people considered technology and media company leaders heroic.
A new technology protocol prompted an entire version number upgrade to the web. A new technology challenged Google for search supremacy. And every startup name contained fewer and fewer vowels.
That last hint might make you think I’m describing this moment. But I’m talking about the period from 2007 to 2009. At that time, Google was digitizing the world’s books (and facing lawsuits for it). Kevin Rose of the social network Digg, Eric Schmidt of Google, Steve Jobs of Apple, Pete Cashmore of Mashable, and Mark Zuckerberg of (well, you know) were lauded as web celebrities.
A new technology protocol called “web services” that seamlessly connected data and applications across the internet was all the buzz. Microsoft branded it “.NET.” Magazines, journals, and entire startups were built around it. A new search engine called Cuil (pronounced “cool” – yes, really) launched and faded quickly. And, all startups started “dis-emvoweling” (I couldn’t resist) – Flickr, Tumblr, Grindr, Scribd, and Twttr (later known as Twitter).
When I was CMO of a startup in 2004, we had a running joke that just dropping a couple of vowels from our name would add a zero to our valuation in the next funding round.
So, yeah, at the beginning of 2023, things feel eerily similar. Just swap .NET for Web3.
The #Web3 conversation in 2023 feels similar to the discussion of Web 2.0 15 years ago, says @Robert_Rose via @CMIContent. Click To Tweet
Will Web3 matter in 2023?
What a difference a year makes.
At this point in 2022, Facebook had rebranded itself as Meta and promised to make the metaverse a thing. NFTs (non-fungible tokens) attracted headlines and eye-popping sales figures. And everyone tried to understand what it would all mean to their marketing strategy.
Back then, I discussed how Web3 technologies like NFTs and the metaverse were ultimately content plays. I suggested marketing departments would be most likely to explore these new developments.
Today, some active experiments continue. But their most interesting aspect might be how few Web3 buzzwords they use:
- Starbucks recently launched its Starbucks Odyssey program, a loyalty program that lets customers accumulate rewards and exclusive offers through NFTs. But the NFT acronym appears only once on the learn-more page. Instead, the content focuses on how “digital collectibles” unlock access to “experiential rewards” and “artwork” that can’t be found anywhere else.
- Nike’s .Swoosh promotes itself as the “home for Nike’s virtual creations.” Members of the digital community can build a collection of digital art, converse with other members, and compete in challenges to “co-create next-gen Nike virtual creations.” .Swoosh is made possible by Nike’s acquisition of Rtfkt (pronounced ‘artifact’ – where did those pesky vowels go?), a metaverse and NFT design studio. But there’s no mention of NFTs in the copy.
- During the 2022 holidays, Bloomingdales created a virtual department store for premium brands such as Ralph Lauren, Chanel, and Nespresso, as well as a spa (yes, really) and party room. But nowhere did it use the word “metaverse.” It simply designated it as “immersive shopping.”
@Starbucks, @Nike, and @Bloomingdales all avoid using Web3 buzzwords like NFTs and the metaverse, says @Robert_Rose via @CMIContent. Click To Tweet
While some marketers are experimenting with these Web3 technologies, the initial buzzwords are losing their hype.
Consumers are skeptical about words like NFTs and metaverse. Trading volumes for NFT art collections are down 94% from their spring 2022 peak. Meta’s stock has dropped some 60% since the company changed its name in October 2021.
Does it even make sense to invest in these new kinds of content and marketing programs now that the bright, shiny newness has dimmed?
Maybe, if you swap Web3 glitz for utility
The overriding goal of content marketing – as I’ve preached for over a decade – is driving value to your audiences through content experiences. It’s the content marketing mission: To consistently deliver relevant and valuable content (experiences) to attract and retain audience members who ultimately convert to customers.
At the recently concluded Consumer Electronics Show (CES), Raja Rajamannar, chief marketing officer of Mastercard, spoke about several marketing plans for 2023. The company just launched the Web3 Artist Accelerator program to “teach both artists and fans how to build (and own) their brand” in what the company calls “the new digital economy.” The program uses blockchain technology (that’s what makes it a Web3 play). But its utility is that it offers a new way to achieve older goals – providing artists with fractional ownership of co-created work to fund musical projects and creating a community with fans.
Over the last year, I’ve advised more clients to experiment with content and technologies around Web3. I’ve encouraged them to think of Web3 as a way to provide a functional utility that drives value for the audience. In other words, look beyond speculative investments in collectibles or offering virtual places to visit.
Put simply: In 2023, the most interesting investments will use NFTs and the metaverse as a vehicle to deliver something valuable rather than as valuable things themselves.
Think of #Web3 technologies in terms of how to provide value for your customers and audience, not as a speculative investment in a collectible, says @Robert_Rose via @CMIContent. Click To Tweet
Buzzwords can sting
I’ve had to learn this lesson again and again (I’m sure I’m not alone): Audiences and customers don’t care about technology, buzzwords, or the lack of vowels in a company’s name. They care about what they can do or who they will be with your product or service that they can’t do or be now.
In the early 2000s, the chatter about the internet’s next generation centered on the formation of content, commerce, and community. Web 2.0 was to enable all of that.
As the old saying attributed to Mark Twain goes, “History doesn’t repeat itself, but it does rhyme.” The chatter around Web3 again focused on those elements. The difference is who creates the content, what the customers buy, and where the community exists.
So, yes, Web3 technology is alive and well in 2023, and marketing leaders should pay attention. If you can figure out a way to use it to create value for your audience (and, through them, your brand), then try it.
As a marketer, I’m excited to see how people create value with Web3 technologies. My prediction is that those who succeed won’t need any buzzwords.
It’s your story. Tell it well.
Get Robert’s take on content marketing industry news in just five minutes:
Watch previous episodes or read the lightly edited transcripts.
HANDPICKED RELATED CONTENT:
Cover image by Joseph Kalinowski/Content Marketing Institute
MARKETING
YouTube Ad Specs, Sizes, and Examples [2024 Update]
Introduction
With billions of users each month, YouTube is the world’s second largest search engine and top website for video content. This makes it a great place for advertising. To succeed, advertisers need to follow the correct YouTube ad specifications. These rules help your ad reach more viewers, increasing the chance of gaining new customers and boosting brand awareness.
Types of YouTube Ads
Video Ads
- Description: These play before, during, or after a YouTube video on computers or mobile devices.
- Types:
- In-stream ads: Can be skippable or non-skippable.
- Bumper ads: Non-skippable, short ads that play before, during, or after a video.
Display Ads
- Description: These appear in different spots on YouTube and usually use text or static images.
- Note: YouTube does not support display image ads directly on its app, but these can be targeted to YouTube.com through Google Display Network (GDN).
Companion Banners
- Description: Appears to the right of the YouTube player on desktop.
- Requirement: Must be purchased alongside In-stream ads, Bumper ads, or In-feed ads.
In-feed Ads
- Description: Resemble videos with images, headlines, and text. They link to a public or unlisted YouTube video.
Outstream Ads
- Description: Mobile-only video ads that play outside of YouTube, on websites and apps within the Google video partner network.
Masthead Ads
- Description: Premium, high-visibility banner ads displayed at the top of the YouTube homepage for both desktop and mobile users.
YouTube Ad Specs by Type
Skippable In-stream Video Ads
- Placement: Before, during, or after a YouTube video.
- Resolution:
- Horizontal: 1920 x 1080px
- Vertical: 1080 x 1920px
- Square: 1080 x 1080px
- Aspect Ratio:
- Horizontal: 16:9
- Vertical: 9:16
- Square: 1:1
- Length:
- Awareness: 15-20 seconds
- Consideration: 2-3 minutes
- Action: 15-20 seconds
Non-skippable In-stream Video Ads
- Description: Must be watched completely before the main video.
- Length: 15 seconds (or 20 seconds in certain markets).
- Resolution:
- Horizontal: 1920 x 1080px
- Vertical: 1080 x 1920px
- Square: 1080 x 1080px
- Aspect Ratio:
- Horizontal: 16:9
- Vertical: 9:16
- Square: 1:1
Bumper Ads
- Length: Maximum 6 seconds.
- File Format: MP4, Quicktime, AVI, ASF, Windows Media, or MPEG.
- Resolution:
- Horizontal: 640 x 360px
- Vertical: 480 x 360px
In-feed Ads
- Description: Show alongside YouTube content, like search results or the Home feed.
- Resolution:
- Horizontal: 1920 x 1080px
- Vertical: 1080 x 1920px
- Square: 1080 x 1080px
- Aspect Ratio:
- Horizontal: 16:9
- Square: 1:1
- Length:
- Awareness: 15-20 seconds
- Consideration: 2-3 minutes
- Headline/Description:
- Headline: Up to 2 lines, 40 characters per line
- Description: Up to 2 lines, 35 characters per line
Display Ads
- Description: Static images or animated media that appear on YouTube next to video suggestions, in search results, or on the homepage.
- Image Size: 300×60 pixels.
- File Type: GIF, JPG, PNG.
- File Size: Max 150KB.
- Max Animation Length: 30 seconds.
Outstream Ads
- Description: Mobile-only video ads that appear on websites and apps within the Google video partner network, not on YouTube itself.
- Logo Specs:
- Square: 1:1 (200 x 200px).
- File Type: JPG, GIF, PNG.
- Max Size: 200KB.
Masthead Ads
- Description: High-visibility ads at the top of the YouTube homepage.
- Resolution: 1920 x 1080 or higher.
- File Type: JPG or PNG (without transparency).
Conclusion
YouTube offers a variety of ad formats to reach audiences effectively in 2024. Whether you want to build brand awareness, drive conversions, or target specific demographics, YouTube provides a dynamic platform for your advertising needs. Always follow Google’s advertising policies and the technical ad specs to ensure your ads perform their best. Ready to start using YouTube ads? Contact us today to get started!
MARKETING
Why We Are Always ‘Clicking to Buy’, According to Psychologists
Amazon pillows.
MARKETING
A deeper dive into data, personalization and Copilots
Salesforce launched a collection of new, generative AI-related products at Connections in Chicago this week. They included new Einstein Copilots for marketers and merchants and Einstein Personalization.
To better understand, not only the potential impact of the new products, but the evolving Salesforce architecture, we sat down with Bobby Jania, CMO, Marketing Cloud.
Dig deeper: Salesforce piles on the Einstein Copilots
Salesforce’s evolving architecture
It’s hard to deny that Salesforce likes coming up with new names for platforms and products (what happened to Customer 360?) and this can sometimes make the observer wonder if something is brand new, or old but with a brand new name. In particular, what exactly is Einstein 1 and how is it related to Salesforce Data Cloud?
“Data Cloud is built on the Einstein 1 platform,” Jania explained. “The Einstein 1 platform is our entire Salesforce platform and that includes products like Sales Cloud, Service Cloud — that it includes the original idea of Salesforce not just being in the cloud, but being multi-tenancy.”
Data Cloud — not an acquisition, of course — was built natively on that platform. It was the first product built on Hyperforce, Salesforce’s new cloud infrastructure architecture. “Since Data Cloud was on what we now call the Einstein 1 platform from Day One, it has always natively connected to, and been able to read anything in Sales Cloud, Service Cloud [and so on]. On top of that, we can now bring in, not only structured but unstructured data.”
That’s a significant progression from the position, several years ago, when Salesforce had stitched together a platform around various acquisitions (ExactTarget, for example) that didn’t necessarily talk to each other.
“At times, what we would do is have a kind of behind-the-scenes flow where data from one product could be moved into another product,” said Jania, “but in many of those cases the data would then be in both, whereas now the data is in Data Cloud. Tableau will run natively off Data Cloud; Commerce Cloud, Service Cloud, Marketing Cloud — they’re all going to the same operational customer profile.” They’re not copying the data from Data Cloud, Jania confirmed.
Another thing to know is tit’s possible for Salesforce customers to import their own datasets into Data Cloud. “We wanted to create a federated data model,” said Jania. “If you’re using Snowflake, for example, we more or less virtually sit on your data lake. The value we add is that we will look at all your data and help you form these operational customer profiles.”
Let’s learn more about Einstein Copilot
“Copilot means that I have an assistant with me in the tool where I need to be working that contextually knows what I am trying to do and helps me at every step of the process,” Jania said.
For marketers, this might begin with a campaign brief developed with Copilot’s assistance, the identification of an audience based on the brief, and then the development of email or other content. “What’s really cool is the idea of Einstein Studio where our customers will create actions [for Copilot] that we hadn’t even thought about.”
Here’s a key insight (back to nomenclature). We reported on Copilot for markets, Copilot for merchants, Copilot for shoppers. It turns out, however, that there is just one Copilot, Einstein Copilot, and these are use cases. “There’s just one Copilot, we just add these for a little clarity; we’re going to talk about marketing use cases, about shoppers’ use cases. These are actions for the marketing use cases we built out of the box; you can build your own.”
It’s surely going to take a little time for marketers to learn to work easily with Copilot. “There’s always time for adoption,” Jania agreed. “What is directly connected with this is, this is my ninth Connections and this one has the most hands-on training that I’ve seen since 2014 — and a lot of that is getting people using Data Cloud, using these tools rather than just being given a demo.”
What’s new about Einstein Personalization
Salesforce Einstein has been around since 2016 and many of the use cases seem to have involved personalization in various forms. What’s new?
“Einstein Personalization is a real-time decision engine and it’s going to choose next-best-action, next-best-offer. What is new is that it’s a service now that runs natively on top of Data Cloud.” A lot of real-time decision engines need their own set of data that might actually be a subset of data. “Einstein Personalization is going to look holistically at a customer and recommend a next-best-action that could be natively surfaced in Service Cloud, Sales Cloud or Marketing Cloud.”
Finally, trust
One feature of the presentations at Connections was the reassurance that, although public LLMs like ChatGPT could be selected for application to customer data, none of that data would be retained by the LLMs. Is this just a matter of written agreements? No, not just that, said Jania.
“In the Einstein Trust Layer, all of the data, when it connects to an LLM, runs through our gateway. If there was a prompt that had personally identifiable information — a credit card number, an email address — at a mimum, all that is stripped out. The LLMs do not store the output; we store the output for auditing back in Salesforce. Any output that comes back through our gateway is logged in our system; it runs through a toxicity model; and only at the end do we put PII data back into the answer. There are real pieces beyond a handshake that this data is safe.”
-
SEARCHENGINES7 days ago
Daily Search Forum Recap: September 11, 2024
-
WORDPRESS7 days ago
14 Tools for Creating and Selling Digital Products (Expert Pick)
-
SEARCHENGINES6 days ago
Daily Search Forum Recap: September 12, 2024
-
WORDPRESS5 days ago
How to Connect Your WordPress Site to the Fediverse – WordPress.com News
-
GOOGLE6 days ago
Google Warns About Misuse of Its Indexing API
-
SEARCHENGINES5 days ago
Daily Search Forum Recap: September 13, 2024
-
SEO6 days ago
OpenAI Claims New “o1” Model Can Reason Like A Human
-
SEO6 days ago
How to Build a Fandom by Talent-Scouting Great Content
You must be logged in to post a comment Login